Detalhe da pesquisa
1.
Integrating somatic mutation profiles with structural deep clustering network for metabolic stratification in pancreatic cancer: a comprehensive analysis of prognostic and genomic landscapes.
Brief Bioinform
; 25(1)2023 11 22.
Artigo
Inglês
| MEDLINE | ID: mdl-38040491
2.
Clinical significance and immunogenomic landscape analyses of the immune cell signature based prognostic model for patients with breast cancer.
Brief Bioinform
; 22(4)2021 07 20.
Artigo
Inglês
| MEDLINE | ID: mdl-33302293
3.
A random forest-based metabolic risk model to assess the prognosis and metabolism-related drug targets in ovarian cancer.
Comput Biol Med
; 153: 106432, 2023 02.
Artigo
Inglês
| MEDLINE | ID: mdl-36608460
4.
Stratification of ovarian cancer patients from the prospect of drug target-related transcription factor protein activity: the prognostic and genomic landscape analyses.
Brief Funct Genomics
; 22(4): 351-365, 2023 07 17.
Artigo
Inglês
| MEDLINE | ID: mdl-37103222
5.
Integrated analysis of ovarian cancer patients from prospective transcription factor activity reveals subtypes of prognostic significance.
Heliyon
; 9(5): e16147, 2023 May.
Artigo
Inglês
| MEDLINE | ID: mdl-37215759
6.
Structural deep clustering network for stratification of breast cancer patients through integration of somatic mutation profiles.
Comput Methods Programs Biomed
; 242: 107808, 2023 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-37716222
7.
Deep learning-based transcription factor activity for stratification of breast cancer patients.
Biochim Biophys Acta Gene Regul Mech
; 1865(6): 194838, 2022 08.
Artigo
Inglês
| MEDLINE | ID: mdl-35690313
8.
Prognostic and predictive value of a metabolic risk score model in breast cancer: an immunogenomic landscape analysis.
Brief Funct Genomics
; 21(2): 128-141, 2022 04 11.
Artigo
Inglês
| MEDLINE | ID: mdl-34755827
9.
Integrated multi-cohorts for characterizing the immunogenomic landscape and predicting drug response in triple-negative breast cancer.
Brief Funct Genomics
; 21(3): 188-201, 2022 05 21.
Artigo
Inglês
| MEDLINE | ID: mdl-35348574